We are happy to invite you to the Special Session in Computational Intelligence applied to Sustainability, held as part of EvoApps 2027 at the upcoming EvoStar 2027 conference (https://www.evostar.org/2027/).

The application of Computational Intelligence techniques to sustainability is a fast-growing field, yielding innovative solutions in areas like wind farm optimization, land use, water distribution, smart grids, and AI-driven decision support in healthcare.
This special session seeks to bring together researchers and practitioners to explore the latest advancements in applying Computational Intelligence to sustainability, with a focus on methodologies that directly or indirectly address one or more SDGs (https://sdgs.un.org/goals).

Topics of interest include, but are not limited to:

-Renewable Energy Systems: Optimization of energy generation, distribution, and storage.
-Smart Cities: Design and management of resilient, sustainable urban environments.
-Agriculture and Food Security: Sustainable farming practices, precision agriculture, and food supply chain optimization.
-Environmental Monitoring and Management: Applications in pollution control, conservation, and natural resource management.
-Healthcare and Well-being: AI-driven diagnostics, telemedicine, and optimization of healthcare systems.
-Water Resources Management: Efficient distribution, usage, and conservation of water resources.
-Sustainable Manufacturing and Industry 4.0: Green manufacturing processes, waste reduction, and lifecycle assessment.
-Risk Reduction and Management: Early warning systems for natural disasters, climate change risk assessment,  response optimization, and resilience building.
-Circular Economy: Strategies for waste minimization, recycling, and sustainable product design.

We welcome original research, review articles, and case studies that demonstrate the potential of Computational Intelligence to create sustainable solutions and drive progress toward the SDGs. Contributions that highlight interdisciplinary approaches and real-world implementations are particularly encouraged.

More Information: https://www.evostar.org/2027/evoapps/cis/

Submission Details

Page limit: 14 pages, Springer LNCS format.


Submission link and details: https://www.evostar.org/2027/submit-paper/

Important Dates

Submission deadline: November 1, 2026 (AoE)


EvoStar 2027: March 31- April 2, 2027

Organisers:

Valentino Santucci
University for Foreigners of Perugia, Italy
valentino.santucci(at)unistrapg.it

Fabio Caraffini
Swansea University, UK
Fabio.caraffini(at)swansea.ac.uk

Jamal Toutouh 
University of Malaga, Spain
jamal(at)uma.es

Lucia Ballerini
University for Foreigners of Perugia, Italy
lucia.ballerini(at)unistrapg.it